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Phys Rev Lett. 2008 Mar 14;100(10):108102. Epub 2008 Mar 11.

Correlation and synchrony transfer in integrate-and-fire neurons: basic properties and consequences for coding.

Author information

1
Courant Institute of Mathematical Sciences, New York University, New York, New York 10012, USA.

Abstract

We study how pairs of neurons transfer correlated input currents into correlated spikes. Over rapid time scales, correlation transfer increases with both spike time variability and rate; the dependence on variability disappears at large time scales. This persists for a nonlinear membrane model and for heterogeneous cell pairs, but strong nonmonotonicities follow from refractory effects. We present consequences for population coding and for the encoding of time-varying stimuli.

PMID:
18352234
DOI:
10.1103/PhysRevLett.100.108102
[Indexed for MEDLINE]

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